Showing 14,021 - 14,040 results of 105,386 for search '(( 5 ((mean decrease) OR (a decrease)) ) OR ( e ((fold decrease) OR (point decrease)) ))', query time: 1.17s Refine Results
  1. 14021

    Amygdala voxel correlations with ACC whose values <i>decrease</i> as symptoms of post-combat emotional distress increase. by Tom Brashers-Krug (762715)

    Published 2015
    “…Threshold for significance was a <i>z</i>-score < -5.39. Coronal slices through the brain at y = 4, 2, 0, -2, -4, -6, and -8 mm showing the amygdala bilaterally. …”
  2. 14022

    ACC voxel correlations with amygdala whose values <i>decrease</i> as symptoms of post-combat emotional distress increase. by Tom Brashers-Krug (762715)

    Published 2015
    “…Threshold for significance was a <i>z</i>-score < -5.39. Only values within the ACC ROI are shown. …”
  3. 14023

    Drill image dataset for training part II. by Qingjun Yu (1649473)

    Published 2024
    “…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
  4. 14024

    U<sup>2</sup>-Net network structure diagram [8]. by Qingjun Yu (1649473)

    Published 2024
    “…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
  5. 14025

    RSU-7 structure diagram [8]. by Qingjun Yu (1649473)

    Published 2024
    “…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
  6. 14026

    Drill image dataset for training part I. by Qingjun Yu (1649473)

    Published 2024
    “…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”
  7. 14027
  8. 14028

    Proliferative tissue degeneration is accompanied by a sustained decrease in proliferation, acute apoptotic responses, and progressive accumulation of DDR foci. by Catarina M. Henriques (102294)

    Published 2013
    “…Proliferative tissues such as A) testes, B) head kidney and C) gut sections show sustained significant decrease in proliferation in <i>tert<sup>−/−</sup></i> as compared to <i>tert<sup>+/+</sup></i> siblings (panels b, d and e) (p<0.001) and an acute apoptotic response at 3 months of age (p<0.001), which clears by c. 12 months (panels g, i and j). …”
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  12. 14032

    Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote... by Shuyun Meng (9388005)

    Published 2023
    “…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
  13. 14033

    Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote... by Shuyun Meng (9388005)

    Published 2023
    “…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
  14. 14034

    Portable Visual Photoelectrochemical Biosensor Based on a MgTi<sub>2</sub>O<sub>5</sub>/CdSe Heterojunction and Reversible Electrochromic Supercapacitor for Dual-Modal Cry1Ab Prote... by Shuyun Meng (9388005)

    Published 2023
    “…In PSP, a type II MgTi<sub>2</sub>O<sub>5</sub>/CdSe heterojunction effectively drives charge separation by their cross-matched band gap structures, generating an amplified photocurrent. …”
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  19. 14039

    Data_Sheet_1_Low bone mineral density is associated with gray matter volume decrease in UK Biobank.docx by Polona Kalc (12642145)

    Published 2023
    “…We were interested whether BMD is associated with GM volume decrease in brains of a healthy elderly population from the UK Biobank.…”
  20. 14040